Academic Content Developer - LLM Fine-Tuning and Alignment Engineer

Requirements

We're looking for a content developers for its Master in AI Systems Engineering. . You'll design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.

A tuned model plus an audit report, covering SFT, PEFT/LoRA, DPO/KTO, verifier-driven RL, domain-data preparation, preference optimization, and alignment-auditing methodology — plus module content, labs, an evaluation rubric, and an instructor guide.

• Masters Degree in Computer Science or related.
• 5+ years shipping production software, 2+ years in production AI/ML.
• Production SFT, PEFT and preference-optimization experience on real domain data.
• An alignment-audit track record.
• Comfortable at multi-GPU scale, disciplined about run lineage
• Can build the artifact personally, to production standard.
• Public writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard
• Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)
• Professional written English

Tech stack: Axolotl, Unsloth, PEFT, TRL, Hugging Face Inference Endpoints, Modal (H100 / A100 80GB), Weights & Biases, OpenRouter.

Benefits

• Remote work modality (home office).
• Joining a dynamic and growing organization with international reach.